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. 2016 Oct 19;7(51):84872–84882. doi: 10.18632/oncotarget.12744

Nucleotide excision repair pathway gene polymorphisms are linked to breast cancer risk in a Chinese population

Bang-shun He 1, Tao Xu 1, Yu-qin Pan 1, Han-jin Wang 2, William C Cho 3, Kang Lin 1, Hui-ling Sun 1, Tian-yi Gao 4, Shu-kui Wang 1
PMCID: PMC5356705  PMID: 27768589

Abstract

Polymorphisms in nucleotide excision repair (NER) pathway genes are associated with the risk of breast cancer, but the relevance of these associations appeared to vary according to the ethnicity of the subjects. To systemically evaluate the potential associations between NER polymorphisms and breast cancer risk in a Chinese population, we carried out a case-control study on 450 breast cancer patients and 430 healthy controls. Sequenom MassARRAY was used for genotyping, and immunohistochemistry was performed to detect estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression in tumor tissue. Our results showed that ERCC1 rs11615 (additive model: ORadjusted: 1.36, 95% CI: 1.08-1.71, p = 0.009), XPC rs2228000 (additive model: ORadjusted: 1.39, 95% CI: 1.13-1.72, p = 0.002) and ERCC2/XPD rs50872 (additive model: ORadjusted: 1.32, 95% CI: 1.04-1.67, p = 0.021) were associated with an increased risk of breast cancer. Stratified analysis revealed three polymorphisms (rs11615, rs1800975, and rs50872) to be associated with breast cancer in menopausal females. Three polymorphisms were associated with specific breast cancer grades (rs11615 with grade 3, rs2228000 and rs50872 with grade 1-2). Two polymorphisms (rs2228001 and rs50872) were associated with the risk of breast cancer with negative lymph node involvement. rs1800975 and rs50872 were associated with the risk of ER and PR breast cancer, whereas rs11615 was associated with the risk of ER+ and PR+ breast cancer. We found that carriers of the T allele of ERCC1 rs11615, XPC rs2228000 and rs50872, particularly in postmenopausal females, have an increased risk of breast cancer.

Keywords: association study, breast cancer, Chinese females, nucleotide excision repair (NER) pathway, polymorphism

INTRODUCTION

Breast cancer is a complex multifactorial disease with unclear etiology. DNA damage and genomic instability, a potential risk of breast cancer, are induced by common environmental factors [2]. However, we are born with a system to protect our genome from DNA damage and correct for damage after it occurs, including nucleotide excision repair (NER), mismatch repair (MMR), bases excision repair (BER), transcription-coupled repair (TCR), and double-strand DNA break repair systems [3].

NER repairs damage introduced by ultraviolet (UV) radiation, products of organic combustion, intrastrand DNA cross-links, heavy metals, and oxidative stress. Several proteins, including ERCC1, XPA, XPB/ERCC3, XPC, XPD/ERCC2, ERCC4/XPF, ERCC5/XPG, and PE/DDB1, are involved in the repair process, maintaining genome integrity to prevent carcinogenesis. The process of NER comprises several distinct steps, including DNA damage recognition, DNA damage demarcation, damaged DNA incision, repair patch synthesis, and ligation. Polymorphisms in NER pathway genes have been associated with increased risk for a number of cancers [4] [58].

Breast cancer patients and their relatives tend to have constitutively low NER levels in their peripheral blood lymphocytes [9, 10]. Moreover, polymorphisms in NER pathway genes have been linked to breast cancer risk in studies conducted on patients of some ethnicities. However, the conclusions have been inconsistent [1114]. Among the Chinese population, studies have reported correlations between polymorphisms in NER pathway genes and breast cancer risk, but to date, there is no systematic investigation on the genetic susceptibility of the NER pathway in breast cancer [1519]. To provide a more comprehensive understanding of the relationships between specific polymorphisms in the NER pathway genes (Table 1) on the carcinogenesis of breast cancer, we performed a breast cancer risk association study and a meta-analysis.

Table 1. Candidate genes and polymorphisms.

Gene rs # Chromosome Allele (major/minor) Position HWE in controls
XPA rs1800975 9:97697296 G/A 5' non-coding region (-4A/G) 0.118/2.445
ERCC1 rs11615 19:45420395 C/T Exon 4 (Asn118Asn) 0.509/0.436
XPC rs2228000 3:14158387 C/T Exon 9 (Ala499Val) 0.498/0.460
XPC rs2228001 3:14145949 A/C Exon 16 (Gln939Lys) 0.267/1.231
ERCC2/XPD rs238406 19:45365051 G/T Exon 6 (Arg156Arg) 0.766/0.088
ERCC2/XPD rs1799793 19:45364001 G/A Exon 10 (Asp 312 Asn) 0.101/2.687
ERCC2/XPD rs50872 19:45359191 C/T Intron 12 0.945/0.005
ERCC2/XPD rs13181 19:45351661 T/A Exon 23 ( Lys751 Gln) 0.716/0.132
ERCC2/XPD rs3810366 19:45370684 C/G Promoter (-114) 0.099/2.728
ERCC4/XPF rs1799801 16:13948101 T/C Exon 11 (Ser835Ser) 0.619/0.247
ERCC5/XPG rs17655 13:102875652 C/G Exon 15 (His1104Asp) 0.077/3.137

RESULTS

None of the tested polymorphisms deviated from Hardy-Weinberg equilibrium (HWE) in controls (Table 1). There were no significant differences in the age and menopausal status among cases and controls (Table 2).

Table 2. Clinical characteristics of the participants.

Cases, n (%) Controls, n (%) P value
Age (mean ± SD) 52.85 ± 10.77 52.67 ± 10.78 0.799*
Menopausal status 0.110
 Pre- 206 (45.78) 220 (51.16)
 Post- 244 (54.22) 210 (48.84)
Tumor size (T1-T4)
 T1-T2 312(69.33)
 T3-T4 138(30.67)
Tumor grade (G1-G3)
 G1 86(19.11)
 G2 238(52.89)
 G3 126(28.00)
Lymph node involvement
 Yes 235(52.22)
 No 215(47.78)
ER
 Positive 278(61.78)
 Negative 172(38.22)
PR
 Positive 238(52.89)
 Negative 212(47.11)
HER-2
 Positive 353(78.44)
 Negative 97(21.55)
*

Independent t test applied to age; ER, estrogen receptor; HER-2, human epidermal growth factor receptor-2; PR, progesterone receptor.

The genotype distribution in the two groups and their subgroups of menopausal status are presented in Table 3. The result showed that ERCC1 rs11615, XPC rs2228000, and ERCC2/XPD rs50872 carriers have a higher breast cancer risk in the whole study population. Stratified analysis of menopausal status revealed that XPC rs2228000 has a higher breast cancer risk in the premenopausal sub-cohort. While in the postmenopausal sub-cohort, ERCC1 rs11615 and ERCC2/XPD rs50872 were associated with increased breast cancer risk. On the contrary, XPA rs1800975 and XPC rs2228001 were associated with decreased breast cancer risk.

Table 3. Distribution of the genotypes in the participants and sub-groups.

Genotype All participants Premenopause Postmenopause
Ca/Co OR (95% CI)* P value Ca/Co OR (95% CI)# P value Ca/Co OR (95% CI)# P value
XPA rs1800975
GG 115/93 Reference 47/55 Reference 68/38 Reference
GA 235/231 0.82(0.59,1.14) 0.245 106/114 1.06(0.66,1.71) 0.805 129/117 0.63(0.39,1.01) 0.057
AA 100/106 0.77(0.52,1.13) 0.186 53/51 1.21(0.70,2.10) 0.489 47/55 0.48(0.27,0.83) 0.009
GA/AA 335/337 0.81(0.59,1.11) 0.185 159/165 1.11(0.71,1.74) 0.646 176/172 0.59(0.37,0.92) 0.020
Additive model 450/430 0.88(0.73,1.07) 0.198 206/220 1.10(0.84,1.45) 0.488 244/210 0.70(0.53,0.92) 0.012
ERCC1 rs11615
CC 230/261 Reference 108/128 Reference 122/133 Reference
CT 195/151 1.45(1.10,1.92) 0.009 86/86 1.17(0.79,1.74) 0.430 109/65 1.80(1.21,2.68) 0.004
TT 25/18 1.56(0.83,2.94) 0.168 12/6 2.32(0.84,6.41) 0.104 13/12 1.18(0.52,2.69) 0.700
CT/TT 220/169 1.46(1.11,1.91) 0.006 98/92 1.25(0.85,1.83) 0.260 122/77 1.69(1.16,2.47) 0.007
Additive model 450/430 1.36(1.08,1.71) 0.009 206/220 1.29(0.93,1.80) 0.131 244/210 1.42(1.04,1.95) 0.030
XPC rs2228000
CC 201/228 Reference 86/116 Reference 115/112 Reference
CT 198/174 1.31(0.99,1.73) 0.061 94/85 1.51(1.01,2.26) 0.048 104/89 1.15(0.78,1.69) 0.481
TT 51/28 2.16(1.3,3.57) 0.003 26/19 1.85(0.96,3.57) 0.065 25/9 2.69(1.20,6.02) 0.016
CT/TT 249/212 1.42(1.09,1.86) 0.010 120/104 1.57(1.07,2.30) 0.022 129/98 1.30(0.90,1.88) 0.170
Additive model 450/430 1.39(1.13,1.72) 0.002 206/220 1.41(1.06,1.88) 0.020 244/210 1.37(1.02,1.85) 0.038
XPC rs2228001
AA 193/161 Reference 86/91 Reference 107/70 Reference
AC 195/213 0.76(0.57,1.01) 0.060 90/100 0.96(0.64,1.45) 0.850 105/113 0.61(0.41,0.91) 0.015
CC 62/56 0.91(0.60,1.38) 0.649 30/29 1.08(0.60,1.96) 0.791 32/27 0.76(0.42,1.38) 0.364
AC/CC 257/269 0.79(0.60,1.04) 0.090 120/129 0.99(0.67,1.45) 0.944 137/140 0.64(0.44,0.94) 0.022
Additive model 450/430 0.90(0.74,1.09) 0.275 206/220 1.02(0.77,1.34) 0.909 244/210 0.79(0.60,1.04) 0.098
ERCC2/XPD rs238406
GG 128/128 Reference 55/62 Reference 73/66 Reference
GT 227/216 1.05(0.77,1.43) 0.763 108/111 1.09(0.70,1.71) 0.700 119/105 1.01(0.66,1.55) 0.961
TT 95/86 1.12(0.76,1.64) 0.577 43/47 1.05(0.60,1.84) 0.855 52/39 1.19(0.69,2.03) 0.534
GT/TT 322/302 1.07(0.80,1.43) 0.661 151/158 1.08(0.70,1.65) 0.739 171/144 1.06(0.71,1.59) 0.772
Additive model 450/430 1.06(0.87,1.28) 0.583 206/220 1.02(0.78,1.35) 0.866 244/210 1.08(0.83,1.41) 0.546
ERCC2/XPD rs1799793
GG 380/367 Reference 171/192 Reference 209/175 Reference
GA 69/63 1.05(0.72,1.52) 0.800 35/28 1.41(0.82,2.42) 0.211 34/35 0.80(0.48,1.34) 0.399
AA 1/0 -- -- 0/0 -- -- 1/0 -- --
GA/AA 70/63 1.06(0.73,1.54) 0.743 35/28 1.41(0.82,2.42) 0.211 35/35 0.82(0.50,1.37) 0.460
Additive model 450/430 1.08(0.75,1.56) 0.683 206/220 1.41(0.82,2.42) 0.211 244/210 0.86(0.52,1.41) 0.543
ERCC2/XPD rs50872
CC 269/290 Reference 130/151 Reference 139/139 Reference
CT 160/126 1.35(1.01,1.79) 0.044 66/61 1.27(0.83,1.93) 0.270 94/65 1.42(0.96,2.11) 0.081
TT 21/14 1.64(0.82,3.29) 0.165 10/8 1.53(0.58,4.01) 0.388 11/6 1.83(0.66,5.10) 0.245
CT/TT 181/140 1.38(1.04,1.81) 0.024 76/69 1.29(0.86,1.93) 0.212 105/71 1.46(0.99,2.14) 0.054
Additive model 450/430 1.32(1.04,1.67) 0.021 206/220 1.25(0.89,1.75) 0.199 244/210 1.40(1.00,1.95) 0.048
ERCC2/XPD rs13181
TT 361/354 Reference 169/181 Reference 192/173 Reference
GT 86/73 1.16(0.82,1.63) 0.412 37/38 1.06(0.64,1.75) 0.824 49/35 1.26(0.78,2.03) 0.353
GG 3/3 0.95(0.19,4.74) 0.945 0/1 -- -- 3/2 1.40(0.23,8.50) 0.715
GT/GG 89/76 1.15(0.82,1.61) 0.432 37/39 1.03(0.63,1.69) 0.915 52/37 1.27(0.79,2.02) 0.327
Additive model 450/430 1.13(0.82,1.55) 0.472 206/220 0.99(0.61,1.62) 0.980 244/210 1.24(0.81,1.92) 0.326
ERCC2/XPD rs3810366
GG 112/94 Reference 55/56 Reference 57/38 Reference
CG 234/232 0.84(0.60,1.17) 0.292 107/109 1.00(0.63,1.58) 0.997 127/123 0.69(0.43,1.12) 0.134
CC 104/104 0.83(0.56,1.23) 0.353 44/55 0.80(0.47,1.39) 0.436 60/49 0.84(0.48,1.48) 0.545
CG/CC 338/336 0.84(0.61,1.15) 0.268 151/164 0.93(0.60,1.44) 0.745 187/172 0.74(0.47,1.18) 0.202
Additive model 450/430 0.92(0.76,1.11) 0.375 206/220 0.90(0.69,1.19) 0.462 244/210 0.93(0.70,1.23) 0.598
ERCC4/XPF rs1799801
TT 268/260 Reference 118/136 Reference 150/124 Reference
CT 157/151 1.01(0.76,1.34) 0.949 78/69 1.31(0.87,1.97) 0.196 79/82 0.79(0.54,1.17) 0.244
CC 25/19 1.31(0.70,2.45) 0.399 10/15 0.76(0.33,1.77) 0.526 15/4 3.03(0.98,9.37) 0.055
CT/CC 182/170 1.04(0.79,1.36) 0.775 88/84 1.22(0.83,1.79) 0.324 94/86 0.90(0.62,1.31) 0.579
Additive model 450/430 1.06(0.85,1.33) 0.593 206/220 1.08(0.79,1.47) 0.647 244/210 1.05(0.76,1.45) 0.763
ERCC5/XPG rs17655
GG 101/107 Reference 48/61 Reference 53/46 Reference
CG 243/233 1.09(0.79,1.52) 0.588 114/114 1.27(0.80,2.01) 0.311 129/119 0.94(0.59,1.50) 0.796
CC 106/90 1.22(0.82,1.80) 0.332 44/45 1.23(0.70,2.16) 0.471 62/45 1.20(0.69,2.08) 0.524
CG/CC 349/323 1.12(0.82,1.54) 0.464 158/159 1.26(0.81,1.95) 0.308 191/164 1.00(0.64,1.57) 1.000
Additive model 450/430 1.11(0.91,1.35) 0.307 206/220 1.12(0.85,1.48) 0.433 244/210 1.10(0.83,1.44) 0.509
*

Adjusted by age and menopausal status;

#

Adjusted by age; Ca, case; Co, control.

Based on the observed significant associations, we then performed stratified analysis based on pathological characteristics of the breast cancer (tumor size, lymph node involvement) and expression of specific proteins in tumor tissue (PR, ER, and HER-2). Tumor size (T3-T4) was associated with all polymorphisms of interest except for XPA rs1800975. In addition, ERCC1 rs11615 carriers have a high risk of breast cancer with grade 3, while XPC rs2228000 and ERCC2/XPD rs50872 are linked to a high risk for breast cancer with grades 1 and 2, respectively. For the lymph node involvement subgroup, XPC rs2228001 and ERCC2/XPD rs50872 carriers have a high risk of breast cancer with negative lymph node involvement. While ERCC1 rs11615 and XPC rs2228000, were significantly associated with both negative and positive lymph node involvement subgroups (Table 4).

Table 4. Polymorphisms on breast cancer risk by pathological characteristics of tumor.

Genotype Co Tumor size (T1-T2) Tumor size (T3-T4) Grade (G1-G2) Grade (G3) Lymph node involvement(Negative) Lymph node involvement (Positive)
Ca OR (95% CI)* P value Ca OR (95% CI)* P value Ca OR (95% CI)* P value Ca OR (95% CI)* P value Ca OR(95% CI)* P value Ca OR(95% CI)* P value
XPA rs1800975
GG 93 77 Reference 38 Reference 80 Reference 35 Reference 57 Reference 58 Reference
GA 231 167 0.88(0.61,1.26) 0.482 68 0.71(0.45,1.14) 0.158 177 0.89(0.62,1.28) 0.535 58 0.65(0.40,1.06) 0.087 111 0.78(0.52,1.16) 0.216 124 0.86(0.58,1.29) 0.470
AA 106 68 0.78(0.51,1.21) 0.267 32 0.74(0.42,1.27) 0.271 67 0.74(0.48,1.14) 0.176 33 0.80(0.46,1.40) 0.432 47 0.73(0.45,1.17) 0.188 53 0.80(0.50,1.28) 0.353
GA/AA 337 235 0.85(0.60,1.20) 0.359 100 0.73(0.47,1.13) 0.155 244 0.85(0.60,1.20) 0.350 91 0.71(0.45,1.12) 0.139 158 0.77(0.52,1.12) 0.168 177 0.85(0.58,1.24) 0.395
ERCC1 rs11615
CC 261 163 Reference 67 Reference 176 Reference 54 Reference 117 Reference 113 Reference
TC 151 128 1.36(1.00,1.85) 0.054 67 1.70(1.15,2.53) 0.008 128 1.24(0.91,1.68) 0.171 67 2.19(1.45,3.32) 0.000 81 1.18(0.83,1.68) 0.348 114 1.75(1.26,2.44) 0.001
TT 18 21 1.85(0.95,3.57) 0.069 4 0.90(0.29,2.76) 0.850 20 1.64(0.84,3.19) 0.147 5 1.32(0.47,3.74) 0.595 17 2.12(1.05,4.27) 0.035 8 1.00(0.42,2.38) 0.999
TC/TT 169 149 1.40(1.04,1.88) 0.028 71 1.61(1.09,2.37) 0.016 148 1.27(0.95,1.71) 0.109 72 2.07(1.38,3.11) 0.000 98 1.27(0.91,1.78) 0.154 122 1.65(1.20,2.28) 0.002
XPC rs2228000
CC 228 145 Reference 56 Reference 141 Reference 60 Reference 98 Reference 103 Reference
CT 174 139 1.28(0.94,1.74) 0.119 59 1.39(0.91,2.10) 0.124 149 1.41(1.04,1.91) 0.028 49 1.06(0.69,1.63) 0.782 91 1.24(0.88,1.76) 0.226 107 1.36(0.97,1.90) 0.074
TT 28 28 1.69(0.95,2.99) 0.074 23 3.43(1.83,6.44) 0.000 34 2.08(1.20,3.60) 0.009 17 2.42(1.24,4.75) 0.010 26 2.39(1.32,4.34) 0.004 25 2.02(1.12,3.64) 0.020
CT/TT 202 167 1.33(0.99,1.78) 0.058 82 1.67(1.13,2.46) 0.010 183 1.49(1.12,2.00) 0.007 66 1.25(0.84,1.86) 0.280 117 1.38(0.99,1.92) 0.056 132 1.45(1.05,2.00) 0.023
XPC rs2228001
AA 161 127 Reference 66 Reference 139 Reference 54 Reference 96 Reference 97 Reference
AC 213 139 0.81(0.59,1.12) 0.205 56 0.64(0.42,0.96) 0.033 142 0.77(0.56,1.05) 0.095 53 0.73(0.48,1.13) 0.160 86 0.67(0.47,0.95) 0.026 109 0.85(0.60,1.19) 0.341
CC 56 46 1.02(0.64,1.61) 0.940 16 0.68(0.36,1.27) 0.225 43 0.87(0.55,1.38) 0.548 19 1.00(0.54,1.85) 0.996 33 0.97(0.59,1.61) 0.916 29 0.83(0.49,1.40) 0.483
AC/CC 269 185 0.86(0.64,1.16) 0.319 72 0.65(0.44,0.95) 0.027 185 0.79(0.59,1.06) 0.115 72 0.79(0.53,1.18) 0.252 119 0.73(0.52,1.02) 0.064 138 0.85(0.61,1.17) 0.317
ERCC2/XPD rs50872
CC 290 192 Reference 77 Reference 195 Reference 74 Reference 126 Reference 143 Reference
CT 126 105 1.24(0.90,1.70) 0.186 55 1.62(1.08,2.43) 0.020 113 1.31(0.96,1.80) 0.089 47 1.45(0.95,2.21) 0.087 79 1.42(1.00,2.03) 0.049 81 1.29(0.91,1.82) 0.154
TT 14 15 1.68(0.79,3.57) 0.180 6 1.63(0.60,4.37) 0.336 16 1.77(0.84,3.72) 0.134 5 1.41(0.49,4.08) 0.522 10 1.69(0.73,3.91) 0.223 11 1.62(0.72,3.68) 0.247
CT/TT 140 120 1.28(0.94,1.74) 0.113 61 1.62(1.09,2.39) 0.017 129 1.36(1.01,1.84) 0.046 52 1.44(0.96,2.17) 0.082 89 1.45(1.03,2.04) 0.032 92 1.32(0.95,1.84) 0.104
*

Adjusted by age and menopausal status; Ca, case; Co, control.

For tumor tissue characteristics, XPA rs1800975 and ERCC2/XPD rs50872 carriers have a high risk of breast cancer with negative expression of ER and PR. While ERCC1 rs11615 have a high risk of ER+ and PR+ breast cancer and PR. The susceptibility of XPC rs2228000 to breast cancer risk was observed in both subgroups; however, there was no significant association for XPC rs2228001 in any subgroup (Table 5).

Table 5. Effects of five SNPs on breast cancer risk as stratified by expression of ER, PR, and HER-2.

Genotype Co ER (-) ER (+) PR (-) PR (+) HER-2 (-) HER-2 (+)
Ca OR(95% CI)* P value Ca OR(95% CI)* P value Ca OR(95% CI)* P value Ca OR(95% CI)* P value Ca OR(95% CI)* P value Ca OR(95% CI)* P value
XPA rs1800975
GG 93 51 Reference 64 Reference 61 Reference 54 Reference 27 Reference 88 Reference
GA 231 86 0.67(0.44,1.03) 0.067 149 0.93(0.64,1.36) 0.718 109 0.72(0.49,1.08) 0.113 126 0.93(0.62,1.39) 0.720 46 0.69(0.41,1.18) 0.177 189 0.86(0.60,1.22) 0.399
AA 106 35 0.60(0.36,1.01) 0.055 65 0.89(0.57,1.39) 0.602 42 0.61(0.37,0.99) 0.044 58 0.94(0.59,1.49) 0.786 24 0.78(0.42,1.45) 0.432 76 0.76(0.50,1.15) 0.196
GA/AA 337 121 0.65(0.44,0.98) 0.038 214 0.92(0.64,1.33) 0.670 151 0.69(0.47,1.00) 0.053 184 0.94(0.64,1.38) 0.747 70 0.73(0.44,1.20) 0.212 265 0.83(0.60,1.16) 0.284
ERCC1 rs11615
CC 261 98 Reference 132 Reference 119 Reference 111 Reference 47 Reference 183 Reference
TC 151 70 1.23(0.85,1.78) 0.276 125 1.63(1.18,2.24) 0.003 82 1.16(0.82,1.64) 0.414 113 1.78(1.28,2.48) 0.001 48 1.73(1.10,2.72) 0.018 147 1.38(1.03,1.87) 0.034
TT 18 4 0.58(0.19,1.76) 0.333 21 2.28(1.17,4.44) 0.015 11 1.34(0.61,2.94) 0.463 14 1.81(0.87,3.77) 0.114 2 0.66(0.15,2.95) 0.585 23 1.80(0.94,3.44) 0.075
TC/TT 169 74 1.16(0.81,1.66) 0.432 146 1.68(1.24,2.29) 0.001 93 1.17(0.84,1.64) 0.352 127 1.76(1.28,2.43) 0.001 50 1.61(1.03,2.51) 0.037 170 1.41(1.06,1.88) 0.018
XPC rs2228000
CC 228 84 Reference 117 Reference 96 Reference 105 Reference 41 Reference 160 Reference
CT 174 67 1.06(0.72,1.54) 0.773 131 1.48(1.08,2.04) 0.016 88 1.23(0.86,1.75) 0.257 110 1.38(0.99,1.92) 0.059 41 1.32(0.82,2.12) 0.257 157 1.30(0.97,1.75) 0.082
TT 28 21 2.27(1.20,4.26) 0.011 30 2.15(1.22,3.78) 0.008 28 2.62(1.45,4.73) 0.001 23 1.83(1.00,3.34) 0.049 15 3.09(1.50,6.36) 0.002 36 1.93(1.12,3.31) 0.017
CT/TT 202 88 1.21(0.85,1.72) 0.299 161 1.58(1.16,2.14) 0.004 116 1.41(1.01,1.96) 0.045 133 1.44(1.05,1.98) 0.026 56 1.55(0.99,2.42) 0.055 193 1.39(1.04,1.84) 0.025
XPC rs2228001
AA 161 72 Reference 121 Reference 94 Reference 99 Reference 43 Reference 150 Reference
AC 213 79 0.81(0.55,1.19) 0.277 116 0.72(0.52,1.00) 0.051 90 0.71(0.49,1.01) 0.055 105 0.80(0.57,1.13) 0.202 42 0.74(0.46,1.20) 0.220 153 0.76(0.56,1.04) 0.085
CC 56 21 0.80(0.45,1.42) 0.444 41 0.97(0.60,1.55) 0.894 28 0.81(0.48,1.37) 0.436 34 0.99(0.60,1.62) 0.958 12 0.77(0.38,1.58) 0.482 50 0.94(0.60,1.47) 0.790
AC/CC 269 100 0.81(0.56,1.16) 0.251 157 0.77(0.57,1.05) 0.098 118 0.73(0.52,1.02) 0.066 139 0.84(0.61,1.16) 0.284 54 0.75(0.48,1.18) 0.213 203 0.80(0.60,1.07) 0.133
ERCC2/XPD rs50872
CC 290 89 Reference 180 Reference 113 Reference 156 Reference 58 Reference 211 Reference
CT 126 73 1.86(1.28,2.71) 0.001 87 1.10(0.79,1.53) 0.588 85 1.71(1.20,2.43) 0.003 75 1.09(0.77,1.55) 0.621 36 1.43(0.89,2.28) 0.136 124 1.33(0.98,1.81) 0.069
TT 14 10 2.44(1.04,5.73) 0.040 11 1.27(0.56,2.86) 0.565 14 2.61(1.20,5.68) 0.016 7 0.93(0.37,2.36) 0.882 3 1.08(0.30,3.90) 0.905 18 1.80(0.88,3.72) 0.110
CT/TT 140 83 1.92(1.34,2.76) 0.000 98 1.11(0.81,1.53) 0.518 99 1.80(1.28,2.52) 0.001 82 1.08(0.77,1.51) 0.658 39 1.39(0.88,2.19) 0.157 142 1.38(1.03,1.85) 0.033
*

Adjusted by age and menopausal status; Ca, case; Co, control.

For ERCC2/XPD rs238406, rs1799793, rs13181, rs3810366, ERCC4/XPF rs1799801, ERCC5/XPG rs17655, no significant association was found (Table 3).

To confirm the results of our case study, we performed a meta-analysis involving XPC rs2228000, rs2228001, XPA rs1800975, and ERCC1 rs11615 (Table 6). We identified 14 studies for the meta-analysis according to the inclusion criteria. The characteristics of the selected studies are presented in Supplemental Table S1. The allele frequencies of the four polymorphisms in Asian and Caucasian populations are shown in Supplemental Table S2, indicating the allele frequencies of this study were consistent with those of the pooled data.

Table 6. Meta-analysis of the XPC rs2228000, rs2228001, XPA rs1800975 and ERCC1 rs11615 polymorphism on breast cancer risk.

Variables Cases/controls Homozygote vs. wild type Heterozygote vs. wild type Dominant model Recessive modeld
OR(95% CI) P value Phb OR(95% CI) P value Phb OR (95% CI) P value Phb OR(95% CI) P value Phb
XPC rs2228000
Total 3897/4877a 1.28(1.08-1.52) 0.004 0.228 1.01(0.92,1.10) 0.867 0.291 1.02(0.89,1.17)c 0.766 0.030 1.25(1.06, 1.47) 0.008 0.521
Ethnicities
Caucasian 570/676 0.95(0.59,1.51) 0.811 0.979 0.86(0.68,1.08) 0.196 0.983 0.87(0.69,1.09) 0.219 0.991 1.01(0.64,1.59) 0.981 0.990
Asian 1068/1052 1.73(1.30,2.31) 0.000 0.384 1.26(1.05,1.51) 0.015 0.803 1.37(1.15,1.64) 0.000 0.475 1.52(1.16,1.99) 0.002 0.349
Other 2259/3149 1.13(0.89,1.43) 0.318 0.748 0.97(0.86,1.08) 0.520 0.809 0.97(0.88,1.08) 0.597 0.557 1.14(0.90,1.43) 0.287 0.674
Source of control
PB 2364/3220 1.37(1.11,1.68) 0.003 0.107 1.09(0.97,1.22) 0.148 0.198 1.15(0.94,1.42)c 0.171 0.033 1.29(1.06,1.57) 0.010 0.266
HB 1533/1657 1.12(0.82,1.51) 0.485 0.642 0.91(0.79,1.04) 0.149 0.931 0.91(0.80,1.04) 0.164 0.717 1.15(0.86,1.56) 0.349 0.656
XPC rs2228001
Total 6176/6955 0.99(0.89,1.10) 0.850 0.343 0.97(0.90,1.05) 0.430 0.206 0.97(0.91,1.05) 0.470 0.180 1.01(0.91,1.11) 0.869 0.444
Ethnicities
Caucasian 1714/1613 0.85(0.70,1.05) 0.369 0.369 0.91(0.78,1.05) 0.194 0.608 0.89(0.78,1.03) 0.112 0.462 0.90(0.75,1.09) 0.279 0.485
African 814/753 0.90(0.60,1.35) 0.649 0.649 0.94(0.77,1.16) 0.567 0.308 0.94(0.77,1.14) 0.512 0.420 0.93(0.63,1.37) 0.716 0.513
Asian 1068/1052 1.14(0.87,1.49) 0.196 0.196 1.01(0.59,1.75)c 0.962 0.004 1.04(0.63,1.71)c 0.894 0.005 1.10(0.86,1.42) 0.446 0.826
Other 2580/3537 1.04(0.89,1.22) 0.298 0.298 0.99(0.88,1.10) 0.810 0.792 1.00(0.90,1.11) 0.998 0.891 1.06(0.92,1.21) 0.453 0.130
Source of control
PB 4587/5222 0.95(0.84,1.08) 0.441 0.377 0.95(0.87,1.04) 0.258 0.081 0.95(0.88,1.03)b 0.230 0.056 0.98(0.87,1.10) 0.691 0.795
HB 1589/1733 1.10(0.89,1.35) 0.371 0.336 1.03(0.89,1.20) 0.700 0.738 1.05(0.91,1.21) 0.523 0.971 1.09(0.91,1.32) 0.346 0.122
XPA rs1800975
Total 2619/2663 0.92(0.65,1.31) 0.649 0.003 1.07(0.78,1.48) 0.663 0.001 1.03(0.74,1.42) 0.873 0.000 0.94(0.84,1.06) 0.303 0.190
Ethnicities
Asian 1407/1409 0.82(0.54,1.26) 0.372 0.018 0.95(0.60,1.51) 0.841 0.002 0.91(0.58,1.43) 0.686 0.001 0.83(0.70,0.99) 0.039 0.539
Other 1212/1254 1.22(0.94,1.59) 0.129 0.255 1.30(1.01,1.66) 0.039 0.821 1.27(1.01,1.60) 0.046 0.795 1.05(0.89,1.23) 0.585 0.239
ERCC1 rs11615
Total 1012/1035 1.56(1.17,2.09) 0.003 0.717 1.31(1.09,1.58) 0.005 0.462 1.38(1.15,1.64) 0.000 0.781 1.44(1.10,1.90) 0.009 0.634
a

rs2228000 cases/controls are not include the studies of Smith(b) and Perez-Mayoral

b

Ph value of Q-test for heterogeneity test.

c

Random-effects model was used when a P value < 0.05 for heterogeneity test; otherwise, fixed-effects model was used.

d

Available data by Tatemichi et al was used in stratified analyses by cancer type, ethnicity and source of control for the recessive model comparison.

PB: population based control studies; HB: hospital based control studies.

Pooled results suggested that XPC rs2228000 TT was associated with increased breast cancer risk. In addition, in the Asian population subgroup, XPC rs2228000 TT genotype was a risk factor for breast cancer (Table 6). Similarly, in the population-based studies subgroup, XPC rs2228000 TT genotype was correlated with an increased risk of breast cancer (Table 6). For XPC rs2228001, no significant association was found by pooled or subgroup analysis.

For XPA rs1800975, there were no significant associations with breast cancer risk in the pooled results or the Asian population subgroup; however, in the other ethnic population subgroup, a weak but significant association with increased breast cancer was observed in both the co-dominant and dominant models (Table 6). For ERCC1 rs11615, the pooled results indicated that TT and TT/CT genotype were associated with increased breast cancer risk (Table 6).

DISCUSSION

This case-control association study revealed that ERCC1 rs11615 (T allele), XPC rs2228000 (T allele) and ERCC2/XPD rs50872 (T allele) were associated with increased breast cancer risk. Besides, ERCC1 rs11615 (T allele), and ERCC2/XPD rs50872 (T allele) were associated with postmenopausal breast cancer, while XPC rs2228000 (T allele) was associated with premenopausal breast cancer.

The XPC gene encodes a 940 amino acid protein that forms an XPC-RAD23B complex with RAD23B [20]. XPC rs2228000 is a C-to-T transition causing a substitution in codon 499 in exon 8 that changes alanine to valine in the interaction domain of XPC with hHRAD23. Consistent with previous reports which linked the TT genotype with lower DNA repair capacity (DRC), [21] this study found that T allele (CT/TT) carriers have a higher breast cancer risk. An independent study reported that presence of the XPC rs2228000 T allele (CT or TT genotype) was associated with estrogen receptor positive breast cancer [22]. In all, these studies suggest that patients harboring the XPC rs2228000 T allele have a higher risk of breast cancer. Furthermore, the significance of this association was confirmed by the result of the meta-analysis.

Our study revealed that XPC rs2228001 was not a risk factor for breast cancer, and this was confirmed by our meta-analysis. Our subgroup analysis revealed that postmenopausal females with AC or AC/CC genotype have a lower breast cancer risk. To our knowledge, this is the first study reporting these results, which should be verified by further work.

Postmenopausal females with XPA rs1800975 carrying one or two A alleles have a higher breast cancer risk than those with GG genotype, consistent with reports on populations of northern Chinese [23] and South Korean women [24]. On the other hand, a functional study showed that the XPA rs1800975 G allele increased promoter activity [25] leading to increased XPA protein concentration [26]. Therefore, XPA rs1800975 AA genotype was recognized as a risk factor for lung cancer [27]. It is interesting to see contrasting results among different kinds of cancer, suggesting the susceptibility of XPA rs1800975 to cancer risk may be dependent on cancer type.

ERCC1 variant rs11615 (C19007T) is a C>T synonymous polymorphism in exon 4 (Asn118Asn), converting a high-usage codon AAC to a low-usage codon AAU. This case-control study revealed the susceptibility of carriers of ERCC1 variant rs11615 to increased risk of breast cancer, consistent with previous observations that ERCC1 rs11615 was associated with reduced mRNA [28] and protein [29] expression levels, and consequently impaired DNA repair capacity [28]. Therefore, ERCC1 rs11615 T allele carriers (CT/TT) exhibited reduced ERCC1 expression and higher breast cancer risk, which was consistent with our results. This association was supported by the pooled results of this meta-analysis and the study carried out on a population in China [30]. Additionally, in our study the increased risk of breast cancer linked to ERCC1 rs11615 more prominent in postmenopausal females and patients with positive expression of PR and ER, indicating the risk conveyed by this polymorphism to breast cancer in menopausal females [30].

ERCC2/XPD rs50872 is a C/T polymorphism in intron 4 of XPD. This case-control study linked ERCC2/XPD rs50872 to increased breast cancer risk and showed the polymorphism was more prevalent in the patients with tumor size T3-T4, negative lymph node involvement and patients with ER and PR expression, which was consistent with the conclusions in a South Korean population [24].

Some limitations of this study should be noted. First, the relatively small sample size may limit the statistical power to find differences among groups and therefore some associations may be missed, particularly in the multiple stratified analyses. Therefore, we carried out a meta-analysis to confirm the results of the case-control study. Second, several potential environmental factors, such as occupational exposure and diet, were not included in this study, which may influence breast cancer risk. Third, patients’ clinical outcomes were not traced for the analysis of the predictive value of polymorphisms in the NER pathway. Finally, the polymorphisms included in this study were still limited, and these polymorphisms were selected based on previous knowledge of their potential functional roles in the occurrence of cancers. Analysis of a wider range of polymorphisms would provide more complete information about the associations of NER genes and breast cancer risk.

In conclusion, our study deduced that ERCC1 rs11615 (CT or CT/TT), XPC rs2228000 (TT or CT/TT) and rs50872 (CT or CT/TT) were risk factors associated with increased breast cancer incidence, especially in postmenopausal women. The risk conferred by polymorphisms in NER pathway genes for breast cancer among females with different menopausal status should be evaluated in a larger cohort study.

MATERIALS AND METHODS

Study subjects

For the case-control association study, from January 2008 to January 2015 in Nanjing First Hospital, Nanjing Medical University, China, we enrolled 450 female patients histologically diagnosed with breast cancer, and 430 age-matched healthy females, who visited the same hospital for routine physical examination, were enrolled as non-cancer controls. All participants were from the same geographic region. The clinical characteristics of each subject, including smoking, drinking, and other cancer history, were collected via a questionnaire and written informed consents were obtained from all participants. Participants were enrolled in this study with no limitation for the smoking and drinking or not, and finally, there were less than ten individuals with a history of smoking and drinking, which may be attributed to the lifestyle of Chinese females. We excluded these samples as unrepresentative of the population before genotyping. The protocol of this study was approved by the Institutional Review Board of Nanjing First Hospital.

Genotyping of polymorphisms

Genotyping was performed as we described previously [31, 32]. The genotyping for all the polymorphisms was performed by Sequenom MassARRAY RS1000 according to the standard protocol. Multiplexed SNP MassEXTENDED assay was designed by Sequenom MassARRAY Assay Design 3.0 Software [33]. Finally, data management and analysis were performed by Sequenom Typer 4.0 Software [33, 34].

Immunohistochemistry (IHC) assay

The expression of ER, PR, and HER-2 in paraffin-embedded tumor tissue samples was evaluated by immunohistochemistry (IHC) assay, as we described previously [31, 32].

Meta-analysis of polymorphisms in XPA (rs1800975), XPC (rs2228000, rs2228001), and ERCC1 (rs11615)

Meta-analysis was performed to confirm the polymorphisms identified as breast cancer risk factors by our case-control study. Four polymorphisms (XPA (rs1800975), XPC (rs2228000, rs2228001), and ERCC1 (rs11615)) were evaluated for breast cancer risk using pooled data from this study and available published studies. The ERCC2/XPD rs50873 was ruled out for lack of available published data.

To identify relevant studies, we searched PubMed and Embase databases using the keywords ‘XPA,' ‘XPC’ or ‘ERCC1’, ‘polymorphism,' and ‘breast cancer’ (updated to March 31, 2016). The papers were limited to studies on human subjects and published in English. In addition, references listed in any reviews were manually searched to ensure all relevant studies were included. Then, we evaluated the collected publications by screening the titles and abstracts. All studies which matched the following inclusion criteria were retrieved: (i) evaluated at least one of these four polymorphisms (XPC rs2228000, rs2228001, XPA rs1800975, and ERCC1 rs11615) and risk of breast cancer; (ii) from a case-control association study; and (iii) with available genotype frequencies.

All data complying with the selection criteria were extracted by two authors (B. H., and T. X.), independently. For each study, the following characteristics were extracted: the first author's last name, country of origin, patient ethnicity, the number of genotyped cases and controls, and the result of this case-control study was also applied for the meta-analysis. For the stratified analysis, subgroup analysis was performed according to ethnicity, which were categorized as Caucasian, Asian, and other; those with mixed ethnicities were categorized as others. In addition, subgroup analysis based on the origin of controls was also applied according to the participants of enrolled studies from population or hospital.

Statistical analysis

For the case-control association study, the statistical analysis of genotype distribution was performed by χ2 test. The risk of polymorphisms was evaluated by odds ratios (OR) and 95% confidence intervals (CIs), which were calculated using a logistic regression model. P value < 0.05 was considered to have statistically significant difference. Software SPSS 11.0 for Windows (SPSS, Chicago, IL, USA) was used for the statistics.

For the meta-analysis, the overall risk associated with a polymorphism to breast cancer was measured by ORs with 95% CIs based on different genetic models [Rare allele homozygote (RR), heterozygous (WR), and RR+WR vs. wild-type homozygote (WW) genotypes]. Stratified analyses were performed by ethnicity. The Z test was performed to calculate the pooled OR, and a P value < 0.05 was considered as significant. The χ2 based Q statistical test was used to evaluated the heterogeneity across the enrolled studies [36], and a P value of heterogeneity (P h) < 0.05 was considered significant. The random-effects model was used when there was marked heterogeneity across all the studies; otherwise, the fixed-effects model was used [37]. All statistical tests for this meta-analysis were performed with STATA version 10.0 (Stata Corporation College Station, TX, USA).

SUPPLEMENTARY MATERIALS FIGURES AND TABLES

Acknowledgments

This study was supported by grants from Nanjing Medical Science and Technology Development Foundation to B.H (no. JQX13003, QRX11254, and QYK11175) and Y. P (no. QRX11255). We are grateful to Prof. Hong-Guang Xie, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Jiangsu, China, for his critical review, scientific editing, and constructive comments.

Footnotes

CONFLICTS OF INTEREST

The authors have no conflicts of interests to declare.

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